Su-Williams Location Intel Scenario
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Location Intelligence Scenario • Imagine you’re a Business Analyst tasked with finding Grocery Stores appropriate for an In-store display, possibly even Mailers, Media Placements, and Advertisements • Target Demographics are: – Married, No Children, working age (30 to 55 yo) – High Percentage of Home Owners
Transcript of Su-Williams Location Intel Scenario
Location Intelligence Scenario
• Imagine you’re a Business Analyst tasked with finding Grocery Stores appropriate for an In-store display, possibly even Mailers, Media Placements, and Advertisements
• Target Demographics are: – Married, No Children, working age (30 to 55 yo)– High Percentage of Home Owners
An LI Demo
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LI Demo cont’d
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LI Demo, cont’d
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Introduction• This is an excerpt of a GIS course co-written by myself (K-Y Su) and George
Williams (www.appgeodata.com) intended for business-intelligence leaders who are unfamiliar with GIS and locational intelligence. Kroger is obviously advanced beyond this, and George and I are gratified by this.
• I generated this scenario based on grocery site data supplied by George. It is an intentionally simple scenario meant to meet the course audience at their level of understanding at the beginning of the course. Later in the course we mention multiple decisionmaking factors that GIS can analyze, and the fact that GIS is unique in its ability to synthesize and sum and query multiple location-based factors, transparently.
• Read the voiceover, the “notes” below the slide frame: much of the course content is there rather than in the visuals.
